LUT observations of the mass-transferring binary AI Dra | |
Liao WP(廖文萍)1,2; Qian SB(钱声帮)1,2,3; Li LJ(李临甲)1,2; Zhou X(周肖)1,2,3; Zhao EG(赵二刚)1,2,3; Liu NP(刘念平)1,2,4 | |
发表期刊 | ASTROPHYSICS AND SPACE SCIENCE |
2016-06-01 | |
卷号 | 361期号:6 |
DOI | 10.1007/s10509-016-2771-7 |
产权排序 | 第1完成单位 |
收录类别 | SCI |
关键词 | Stars Binaries Close Stars Binaries Eclipsing Stars Individual (Ai Dra) Stars Multiple Stars Evolution |
摘要 | Complete UV band light curve of the eclipsing binary AI Dra was observed with the Lunar-based Ultraviolet Telescope (LUT) in October 2014. It is very useful to adopt this continuous and uninterrupted light curve to determine physical and orbital parameters of the binary system. Photometric solutions of the spot model are obtained by using the W-D (Wilson and Devinney) method. It is confirmed that AI Dra is a semi-detached binary with secondary component filling its critical Roche lobe, which indicates that a mass transfer from the secondary component to the primary one should happen. Orbital period analysis based on all available eclipse times suggests a secular period increase and two cyclic variations. The secular period increase was interpreted by mass transfer from the secondary component to the primary one at a rate of 4.12 x 10(-8) M-circle dot/yr, which is in agreement with the photometric solutions. Two cyclic oscillations were due to light travel-time effect (LTTE) via the presence of two cool stellar companions in a near 2: 1 meanmotion resonance. Both photometric solutions and orbital period analysis confirm that AI Dra is a mass-transferring binary, the massive primary is filling 69 % of its critical Roche lobe. After the primary evolves to fill the critical Roche lobe, the mass transfer will be reversed and the binary will evolve into a contact configuration. |
资助项目 | Key Research Program of Chinese Academy of Sience[KGED-EW-603] ; National Natural Science Foundation of China[11403095] ; National Natural Science Foundation of China[11133007] ; National Natural Science Foundation of China[11325315] ; Yunnan Natural Science Foundation[2014FB187] ; Science Foundation of Yunnan Province[2012HC011] ; Strategic Priority Research Program "The Emergence of Cosmological Structures" of the Chinese Academy of Sciences[XDB09010202] |
项目资助者 | Key Research Program of Chinese Academy of Sience[KGED-EW-603] ; National Natural Science Foundation of China[11403095, 11133007, 11325315] ; Yunnan Natural Science Foundation[2014FB187] ; Science Foundation of Yunnan Province[2012HC011] ; Strategic Priority Research Program "The Emergence of Cosmological Structures" of the Chinese Academy of Sciences[XDB09010202] |
语种 | 英语 |
学科领域 | 天文学 ; 天体物理学 ; 实测天体物理学 ; 恒星与银河系 ; 恒星天文学 |
文章类型 | Article |
出版者 | SPRINGER |
出版地 | VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS |
ISSN | 0004-640X |
URL | 查看原文 |
归档日期 | 2016-08-15 |
WOS记录号 | WOS:000376618900007 |
WOS研究方向 | Astronomy & Astrophysics |
WOS类目 | Astronomy & Astrophysics |
关键词[WOS] | ULTRAVIOLET TELESCOPE ; LIGHT CURVES ; SPECTROSCOPIC ORBIT ; ECLIPSING BINARIES ; VELOCITY CURVES ; STAR LIGHT ; DRACONIS ; PARAMETERS |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ynao.ac.cn/handle/114a53/9601 |
专题 | 双星与变星研究组 中国科学院天体结构与演化重点实验室 |
通讯作者 | Liao WP(廖文萍) |
作者单位 | 1.Yunnan Observatories, Chinese Academy of Sciences, P.O. Box 110, 650216 Kunming, China 2.Key Laboratory of the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences, P.O. Box 110, 650216 Kunming, China 3.University of Chinese Academy of Sciences, Yuquan Road 19#, Shijingshan Block, 100049 Beijing, P.R. China 4.National Astronomical Research Institute of Thailand, 191 Siriphanich Bldg., Huay Kaew Rd., Chiang Mai 50200,Thailand |
第一作者单位 | 中国科学院云南天文台 |
通讯作者单位 | 中国科学院云南天文台 |
推荐引用方式 GB/T 7714 | Liao WP,Qian SB,Li LJ,et al. LUT observations of the mass-transferring binary AI Dra[J]. ASTROPHYSICS AND SPACE SCIENCE,2016,361(6). |
APA | Liao WP,Qian SB,Li LJ,Zhou X,Zhao EG,&Liu NP.(2016).LUT observations of the mass-transferring binary AI Dra.ASTROPHYSICS AND SPACE SCIENCE,361(6). |
MLA | Liao WP,et al."LUT observations of the mass-transferring binary AI Dra".ASTROPHYSICS AND SPACE SCIENCE 361.6(2016). |
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